Introduction

Therapedia is an app designed to simplify the mental health research process and serve as an equitable, all-in-one resource for mental health information. Therapedia features an encyclopedia of mental health topics, an index of medications and therapies, AI summarized studies, and links to regional laws and resources related to mental health.

Inspiration

Researching mental health topics can be a difficult and time consuming process. There are a vast number of different resources that offer mental health data, and this information can often be limited, confusing, or conflicting. These factors can make researching mental health a daunting and intimidating process, and this lack of accessibility can prevent individuals from taking the first steps towards actively managing their mental health.

This dilemma is what inspired the development of Therapedia. Therapedia was created to make mental health education and research less intimidating, more inclusive, and ultimately more straightforward. Through the use of this app, users will have a one-stop, optimized resource for everything mental-health related. We want to empower individuals to learn about their mental health in a safe and informative place.

What it does

The application first opens with four introduction screens that summarize Therapedia’s primary features. The user is then taken to the primary Therapedia application. The Wiki page opens by default, but the user has the option to switch to the Home and Topics pages via tab navigation. The Wiki page works by having the user input the name of medication they are interested in learning about. Once the user selects “search,” summarized results are produced for the user to read through. The Home screen provides the user with tools and updates that will aid them in the use of Therapedia. The Topics page allows the user to browse through a wide variety of different mental health topics, which can include subjects such as PTSD, anxiety, and depression.

How we built it

The application development process began through a brainstorming jamboard process, where several ideas were listed and our eventual scope and deliverables were chosen. Next, our team researched a variety of different UX templates through Figma, and aligned on a design that fit our project needs. Based on that design, our team built out the application using React Native to ensure usage on both IOS and android devices. Introduction screens were developed to walk users through how to use the tool, and pages were made for the homepage (Home), medication data (Wiki), and mental health topics (Topics). For the Wiki page, the application leverages an FDA drug API to display relevant medication data.

Challenges we ran into

Our greatest challenge during the development process was how to present medication data in a way that is clean and accessible while also ensuring relevant information is displayed. We leveraged an FDA drug API (Open FDA API) to pull and display data regarding mental health medication. While this resource provided a massive amount of helpful data, including all of these results into the display was unrealistic, as it would be overwhelming and difficult to read.

Accomplishments that we're proud of

To solve the problem related to medication information, the team dedicated time into filtering this data and choosing the most relevant fields to display to the user, some of which includes the official medication name, generic name, general use cases, and the most common side effects. These filters ensure that the user is given a condensed and easy to read summary of the most information surrounding the medication they are researching. Through this experience, our team learned the importance of listening to user feedback and designing iteratively.

What's next for Therapedia

Therapedia is focused on it’s goal of becoming a one-stop shop for mental health resources. While we’ve been able to demo some of the designs and functionality, there are big things that still lie ahead. We have plans to incorporate the AI summary component using the QuillBot Text Summarizer AI. We would conduct user research to ensure the types of articles are helpful and make sense to the reader. For example, we would need user input on how to properly address conflicting studies, sensitive topics, and diverse sources of literature. Our goal is to become an app that hospitals and doctors are eager to recommend to patients through wellness programs. No one should have to awkwardly grab a pamphlet related to mental health in their doctor’s offices. Outside of the clinical setting, we plan to be a reliable resource for people who are not yet diagnosed, cannot afford healthcare, or are affected negatively by mental health stigma.

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